TY - JOUR
T1 - Spatial Patterns of Carbon Monoxide Distribution to Traffic Jam in East Jakarta
AU - Ramadhan, A. W.
AU - Wibowo, A.
AU - Saraswati, R.
N1 - Funding Information:
The research and publication were support by a Research Grant from the Directorate of Research and Development Universitas Indonesia year 2020 based on contract number: NKB-2003/UN2.RST/HKP.05.00/2020.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/12/14
Y1 - 2021/12/14
N2 - The rapid growth of cities will certainly also increase traffic jams and emissions in the air. This study aims to analyze the increase in car volume and the CO distribution pattern in East Jakarta. Data for traffic jam patterns were recorded based on Google Maps on weekdays in the morning and evening. The spatial analysis method used to find the CO distribution pattern is the IDW interpolation, and the mathematical model calculates the moving emission based on the distance travelled (VKT). The spatial pattern of CO distribution in 2020 was scattered with high concentrations in Pasar Rebo, Ciracas, Cipayung, Kramat Jati, and Makasar Districts, with CO levels above 4,500 ppm. The spatial pattern of CO distribution from the mobile emission model differs from the air station IDW interpolation. The CO distribution pattern from the mobile emission model is very concentrated in Makassar, and Kramat Jati District was 6,740.91 tons/year. The result concluded that the increase in vehicle volume is not related to the distribution of the CO model from air station IDW interpolation, and the other hand, the congestion pattern was related to the distribution pattern of the CO model from vehicles from the level of congestion.
AB - The rapid growth of cities will certainly also increase traffic jams and emissions in the air. This study aims to analyze the increase in car volume and the CO distribution pattern in East Jakarta. Data for traffic jam patterns were recorded based on Google Maps on weekdays in the morning and evening. The spatial analysis method used to find the CO distribution pattern is the IDW interpolation, and the mathematical model calculates the moving emission based on the distance travelled (VKT). The spatial pattern of CO distribution in 2020 was scattered with high concentrations in Pasar Rebo, Ciracas, Cipayung, Kramat Jati, and Makasar Districts, with CO levels above 4,500 ppm. The spatial pattern of CO distribution from the mobile emission model differs from the air station IDW interpolation. The CO distribution pattern from the mobile emission model is very concentrated in Makassar, and Kramat Jati District was 6,740.91 tons/year. The result concluded that the increase in vehicle volume is not related to the distribution of the CO model from air station IDW interpolation, and the other hand, the congestion pattern was related to the distribution pattern of the CO model from vehicles from the level of congestion.
UR - http://www.scopus.com/inward/record.url?scp=85122186944&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/940/1/012010
DO - 10.1088/1755-1315/940/1/012010
M3 - Conference article
AN - SCOPUS:85122186944
SN - 1755-1307
VL - 940
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012010
T2 - 2nd International Symposium of Earth, Energy, Environmental Science and Sustainable Development, JEESD 2021
Y2 - 25 September 2021 through 26 September 2021
ER -
